Predictive caching of IP data

ABSTRACT

Disclosed is a method of predictively caching IP content data for a mobile device. In the mobile device, a content request is sent to an intelligent cache server over an IP network, the content request indicative of recurring IP content data of interest to the mobile device. The intelligent cache server retrieves the requested IP content data from content servers and queues the requested IP content data in a buffer associated with the mobile device. A notification message is sent to the mobile device indicating that the requested IP content is queued. The mobile device determines whether it is connected to a non-cellular IP network access point and automatically downloads the queued IP content data from the intelligent cache server when connected to a non-cellular IP network. The IP content data is stored in a cache memory in the mobile device. Other embodiments are disclosed.

BACKGROUND

Mobile devices such as smartphones and some tablet style computers areoften equipped with multiple RF transceivers that are capable ofwirelessly connecting with different networks. For example, a mobiledevice may employ a cellular transceiver to allow a user to make andreceive telephone calls, send text messages, and exchange InternetProtocol (IP) data over a cellular access network. That same mobiledevice may also employ a second RF transceiver that operates on anon-cellular network such as, for instance, one that operates over the802.11 family of protocols that are commonly known as WiFi. In addition,the mobile device may also employ another RF transceiver such as, forinstance, one that operates over the 802.16 family of protocols that arecommonly known as WiMax. The WiFi or WiMax transceiver(s) may be usedfor IP network access (e.g., Internet access) anytime the mobile deviceis within range of a WiFi or WiMax IP network access point.

In terms of user convenience and cost, it is preferable to utilize anon-cellular network transceiver such as the WiFi or WiMax transceiversover the cellular transceiver whenever possible. Non-cellular (e.g.,WiFi or WiMax) access is generally free whereas cellular access to IPnetworks comes at a price. Moreover, the cost can escalate the more IPdata is consumed.

As mobile devices such as smartphones become ubiquitous, the demand for‘mobile’ IP data access continues to grow. Limiting such IP networkaccess to cellular network access points only drives costs up forconsumers and tax or stress the cellular carrier's IP data network. Theend result may lead to higher costs and less than expected quality ofservice in terms of network access speeds or even the ability toestablish and maintain an IP network connection in areas of highcongestion. The ability to use non-cellular (e.g. WiFi or WiMax) IPconnectivity greatly alleviates the aforementioned problems.

However, one of the greatest attributes of a mobile device is itsmobility. This means that the user will often find herself withoutnon-cellular connectivity at times but with a need or desire to consumeIP data from sources external to the mobile device. The mobile devicemay do so utilizing the cellular access network for IP data services.Doing so, however, invokes the costs of using the network as previouslymentioned. Thus, the user may desire to minimize to the greatest extentpossible any dependence on the cellular network for IP data consumption.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an exemplary networked environment for implementingcertain exemplary embodiments described herein.

FIG. 2 is a block diagram illustrating some of the functions of a mobiledevice according to one or more embodiments described herein.

FIG. 3 is a logic flow diagram according to one or more embodimentsdescribed herein.

FIG. 4 is a logic flow diagram according to one or more embodimentsdescribed herein.

FIG. 5 illustrates an exemplary networked environment for implementingcertain exemplary embodiments described herein.

FIG. 6 is a logic flow diagram according to one or more embodimentsdescribed herein.

FIG. 7 is a logic flow diagram according to one or more embodimentsdescribed herein.

DETAILED DESCRIPTION

Embodiments described herein disclose methods and techniques to cache IPdata locally on the mobile device while the device has non-cellular(e.g., WiFi or WiMax) IP network connectivity. The IP data that iscached may be pre-determined ahead of time based on user usage patternsand/or user instruction. The terms IP data, content, or IP content datamay be used interchangeably throughout this disclosure and refer to dataof interest to a user of a mobile device wherein the data is remotelystored but is accessible to the mobile device over an IP networkconnection. The IP network connection may be facilitated by a WiFitransceiver, a cellular transceiver, or an alternate transceiver (e.g.,WiMax) housed within the mobile device. The IP data may berepresentative in whole or in part of textual data, graphical data,audio data, video data, or combinations thereof. The underlying data maybe stored or represented in a variety of file formats or protocols andmay or may not be encrypted. For example, text data may be stored in afile such as a Microsoft™ Word file, a pdf file, or http text data.Graphical data may be in the form of images stored as bitmap, JPEG, GIF,or other image file formats. Audio data may be stored in an MP3 or .wavformat while video data may be stored as MPEG, .avi, etc. The underlyingdata, regardless of its actual format, is considered IP data when it ispackaged and transported to the mobile device over an IP connection. Theembodiments are not limited to these examples.

For example, if the user typically accesses the same specific web-sitesfrom the mobile browser most days, the mobile device may be instructedto fetch and cache the IP content from the specific web-site while themobile device has non-cellular (e.g., WiFi or WiMax) IP networkconnectivity. In some cases, the mobile device may even include wired IPnetwork connectivity such as, for instance, an Ethernet connection. Inthis manner, the user may access the web site IP data at a later timethrough cache memory without having to access a cellular network. Themobile device may also acquire intelligent data as to non-cellular IPnetwork connectivity patterns such that the background caching may beperformed at certain times. The caching may also be performed or updatedanytime the mobile device has non-cellular IP network connectivity tokeep the mobile device as up to date as possible for content that may berefreshed periodically. In addition, the caching may be performed insuch a manner that allows the user to access the IP data from the nativemobile device application that they normally would. For instance, webbrowsing data may be accessed using a mobile browser while contentspecific applications (e.g., Fox News™, CNN™, USA Today™, etc.) thatoperate on the mobile device in their own applications may be accessedusing the native application. In this manner, the user experience doesnot change when accessing cached IP data. The user may still access thedata from the native application she would normally use.

In one embodiment, the mobile device may monitor usage and behaviorpatterns to create items of content (e.g., IP data) to download andlocally store on the mobile device. The mobile device may then pull thecontent from the content providers over the Internet at a time when themobile device is typically connected to the Internet via WiFi, WiMax, oranother non-cellular IP network access point. The mobile device maycollect IP data consumption and usage information associated with amobile device. The mobile device may predict, based on the collected IPdata consumption usage information, IP data the mobile device can beexpected to consume at a future time. The mobile device may thenautomatically download the predicted IP data to the mobile device over anon-cellular connection and store the downloaded predicted IP data incache memory on the mobile device.

To facilitate the process and help ensure that the cellular data networkis not used, the mobile device may also collect non-cellular networkconnectivity information associated with the mobile device and predict,based on the collected non-cellular network connectivity information,when the mobile device can be expected to be connected to a non-cellularnetwork. The mobile device may then attempt to perform the automaticdownloading of the predicted IP data at a time when the mobile devicecan be expected to be connected to a non-cellular network. If the mobiledevice is not connected to a non-cellular network it may wait until themobile device is connected to a non-cellular network beforeautomatically downloading the predicted IP data.

The mobile device may also store the downloaded predicted IP data incache memory on the mobile device that is associated with theapplication on the mobile device that would have downloaded thepredicted IP data if the download had been manually initiated by a user.This ensures that the user experience when accessing the cached IP datais the same in so far as the same user interface(s) and/or nativeapplications are used as when the user is using a real-time IP networkconnection to consume IP data. Thus, when there is no non-cellularconnection available to the mobile device, the user may still consumethe cached IP data by bypassing a cellular network connection andaccessing the stored predicted IP data from cache memory using anapplication on the mobile device associated with the stored predicted IPdata in response to a request for the IP data.

In another embodiment, the mobile device may register with a contentservice provider directly to indicate a desire to receive content (e.g.,IP data) from that content provider. The content service provider maythen initiate a download to the mobile device in accordance with therequest previously made by the user. The content server would push therequested content to the mobile device over the Internet at a time whenthe mobile device is typically connected to the Internet via WiFi,WiMax, or another non-cellular IP network access point.

For example, the mobile device may send a content request to a contentserver over an IP network in which the content request is indicative ofrecurring IP data of interest to the user of the mobile device. Thecontent server may queue the requested IP content data in a bufferassociated with the mobile device and send a notification message to themobile device indicating that the requested IP content data is queued.The mobile device may determine whether it is connected to anon-cellular network and automatically download the queued IP contentdata from the content server when it is connected to a non-cellularnetwork. The mobile device may then store the downloaded IP content datain cache memory.

The mobile device may also collect non-cellular network connectivityinformation associated with the mobile device and predict, based on thecollected non-cellular network connectivity information, when the mobiledevice can be expected to be connected to a non-cellular network. Themobile device may then attempt to perform the automatic downloading ofthe queued IP content data at a time when the mobile device can beexpected to be connected to a non-cellular network. If the mobile deviceis not connected to a non-cellular network it may wait until the mobiledevice is connected to a non-cellular network before automaticallydownloading the queued IP content data.

The mobile device may also store the downloaded queued IP content datain cache memory on the mobile device that is associated with theapplication on the mobile device that would have downloaded the queuedIP content data if the download had been manually initiated by a user.This ensures that the user experience when accessing the cached IP datais the same in so far as the same user interface(s) and/or nativeapplications are used as when the user is using a real-time IP networkconnection to consume IP content data. Thus, when there is nonon-cellular connection available to the mobile device, the user maystill consume the cached IP content data by bypassing a cellular networkconnection and accessing the stored queued IP content data from cachememory using an application on the mobile device associated with thestored queued IP content data in response to a request for the IPcontent data.

In yet another embodiment, the mobile device may monitor usage andbehavior patterns to create items of content (e.g., IP data) to downloadand locally store on the mobile device. The mobile device may thenforward the items of content to be stored on the mobile device to anintelligent cache server resident within the Internet. The intelligentcache server may then pull the IP content data from the contentproviders and push it to the mobile device over the Internet at a timewhen the mobile device is typically connected to the Internet via WiFi,WiMax, or another non-cellular IP network access point.

For example, the mobile device may send a content request to anintelligent cache server over an IP network in which the content requestis indicative of recurring IP data of interest to the user of the mobiledevice. The intelligent cache server may retrieve the requested IPcontent data from content servers and queue the requested IP contentdata in a buffer associated with the mobile device and send anotification message to the mobile device indicating that the requestedIP content data is queued. The mobile device may determine whether it isconnected to a non-cellular network and automatically download orreceive the queued IP content data from the intelligent cache serverwhen it is connected to a non-cellular network. The mobile device maythen store the downloaded or received IP content data in cache memory.

The mobile device may also collect non-cellular network connectivityinformation associated with the mobile device and predict, based on thecollected non-cellular network connectivity information, when the mobiledevice can be expected to be connected to a non-cellular network. Themobile device may then attempt to perform the automatic downloading ofthe queued IP content data at a time when the mobile device can beexpected to be connected to a non-cellular network. If the mobile deviceis not connected to a non-cellular network it may wait until the mobiledevice is connected to a non-cellular network before automaticallydownloading or receiving the queued IP content data.

The mobile device may also store the downloaded queued IP content datain cache memory on the mobile device that is associated with theapplication on the mobile device that would have downloaded the queuedIP content data if the download had been manually initiated by a user.This ensures that the user experience when accessing the cached IP datais the same in so far as the same user interface(s) and/or nativeapplications are used as when the user is using a real-time IP networkconnection to consume IP content data. Thus, when there is nonon-cellular connection available to the mobile device, the user maystill consume the cached IP content data by bypassing a cellular networkconnection and accessing the stored queued IP content data from cachememory using an application on the mobile device associated with thestored queued IP content data in response to a request for the IPcontent data.

In each of the aforementioned embodiments, the content may then bestored by the mobile device in cache memory such that when the user wentto access the content, no Internet connection would be required.Moreover, the user may consume desired content without having to utilizea cellular data connection. In addition, the content download (pull orpush) may be timed to repeat at specified intervals or whenever anon-cellular IP network connection is available. The content cachingscheme may run as a background process to keep the content as fresh andupdated as possible.

Referring now to FIG. 1, an exemplary networked environment 100 forimplementing certain exemplary embodiments is described. A contentserver 105 is representative of an entity that creates and/ordistributes content over an IP based network such as, for instance, theInternet 115. The content server 105 may represent a web site or astreaming audio or video service. The content itself may be textual,graphical, audio, video, or some combination thereof. The networkedenvironment 100 also illustrates a mobile device 110, an IP based localarea network (LAN) 120, a cellular network 125, and an alternativenetwork 130.

In a typical scenario, the mobile device may connect to the Internetusing any of the aforementioned networks 120, 125, 130 via anappropriate access point (not shown). The user of the mobile device mayprefer to use one network rather than another given the opportunity. Forinstance, the user may prefer to connect the mobile device to theInternet 115 using an 802.11 WiFi connection over an IP network like LAN120. WiFi connectivity may represent the highest quality and lowest costmeans of Internet 115 access. However, WiFi connectivity may not alwaysbe available to the mobile device. In such cases, one of the othernetworks may be used to gain Internet 115 access. Internet 115 accessvia a cellular network 125 is another common means of connectivity.Using the cellular network 125 for IP data services, however, can becostly. Cellular service providers typically charge for the use of thecellular network 125 based on the amount of IP data that is consumed(e.g., uploaded or downloaded). Moreover, the costs increase the more IPdata is consumed. Thus, it is often desirable to minimize the use of thecellular network 125 for IP data services.

There may also be one or more alternative networks 130 that may provideaccess to the Internet 115 for a mobile device 110. One suchnon-cellular alternative network 130 may be characterized as a WiMaxnetwork operable over the 802.16 wireless protocol standard. Anothersuch alternative network 130 may be characterized as a whitespacenetwork. A whitespace network may utilize RF spectrum that is sharedwith television broadcasters. The television broadcasters do notnecessarily need to utilize all the spectrum allocated to them tobroadcast their video signals. The unused spectrum may be tapped into toprovide an alternative RF access point to a network that can interfacewith the Internet 115.

FIG. 2 is a block diagram illustrating some of the functions of a mobiledevice 110 according to one or more embodiments described herein. Amobile device may include, for instance, a smartphone, a personaldigital assistant (PDA) device, a tablet style computer, a laptop ornotebook style computer, etc. The mobile device 110 may include aprocessor or processors 205 for controlling the various components andfunctions of the mobile device 110. The mobile device 110 may alsoinclude multiple RF transceivers such as, for instance, a WiFitransceiver 210, a cellular transceiver 215, and an alternatetransceiver 220. The alternate transceiver 220 may also be characterizedas a non-cellular transceiver in that it may connect with a networkaccess point to provide access to the Internet 115 without the use orassistance of a cellular network 125.

The WiFi transceiver 210 may be operable to communicate with an IPnetwork access point using one or more of the 802.11 wirelesstransmission protocols. Upon connection with an IP network access point,the mobile device 110 may exchange IP data with servers or othercomputers that are connected with or communicable with the Internet 115.This may include content servers 105 shown in FIG. 1.

The cellular transceiver 215 may be operable to communicate with acellular network 125 for both voice and IP data communications. On thevoice side, the cellular network 125 may be based on GSM, CDMA, or othercommunications protocols while on the IP data side, the cellular network125 may be based on, for example, GPRS, EDGE, EV-DO, HSPA-D, HSPA-U,LTE, UMTS-WCDMA, UMTS-TDD, etc. As pointed out above, use of thecellular network for IP data services can be costly and therefore to beavoided whenever a viable alternative is available to the mobile device110.

In one embodiment, the alternate transceiver 220 may be a WiMaxtransceiver that is operable to communicate with an IP network accesspoint using one or more of the 802.16 wireless transmission protocols.Upon connection with an IP network access point, the mobile device 110may exchange IP data with servers or other computers that are connectedwith or communicable with the Internet 115. This may include contentservers 105 shown in FIG. 1. In another embodiment, the alternatetransceiver 220 may be a whitespace transceiver that is operable tocommunicate with a whitespace network access point. The whitespacenetwork, in turn, may be communicable with the Internet 115 to allow IPdata communications between the mobile device 110 and servers or othercomputers that are connected with or communicable with the Internet 115.This may include content servers 105 shown in FIG. 1.

The mobile device 110 may further include data storage 225, softwareapplications 230, various user interface(s) 235 a predictive cachingapplication 240. The data storage 225 may include, for example, one ormore types of memory devices including, but not limited to, flash memoryusable for ROM, RAM, PROM, EEPROM, and cache. The software applications230 may include, for example, one or more software applicationsexecutable on or by the processor(s) 205 including, but not limited to,web browsers, email applications, application specific data and/oraudio/video applications, etc. For instance, examples of applicationspecific software video applications could be YouTube™ or Netflix™ whilean examples of application specific software audio applications could beSpotify™ or Pandora™. Examples of application specificgraphical/text/multimedia software applications may include those fornews delivery services like Fox News™, CNN™, The New York Times™, USAToday™, etc. The user interface(s) 235 may include, for example, adisplay, a touchscreen for soft-key input, speaker(s), microphone(s), akeyboard for hard-key input, and one or more buttons.

The predictive caching application 240 may be operable to determinecontent of interest to the user of the mobile device 110. The content ofinterest may then be scheduled for download (e.g., pulled) or forwardedto a web based server for management such that the content of interestmay be pushed to the mobile device 110 at appropriate times over a WiFior WiMax connection and stored in cache memory. The predictive cachingapplication 240 is described further below.

Included herein is a set of flow charts representative of exemplarymethodologies for performing novel aspects of the disclosedarchitecture. While, for purposes of simplicity of explanation, the oneor more methodologies shown herein, for example, in the form of a flowchart or flow diagram, are shown and described as a series of acts, itis to be understood and appreciated that the methodologies are notlimited by the order of acts, as some acts may, in accordance therewith,occur in a different order and/or concurrently with other acts from thatshown and described herein. For example, those skilled in the art willunderstand and appreciate that a methodology could alternatively berepresented as a series of interrelated states or events, such as in astate diagram. Moreover, not all acts illustrated in a methodology maybe required for a novel implementation.

FIG. 3 illustrates one embodiment of a logic flow 300. The logic flow300 may be representative of some or all of the operations executed byone or more embodiments described herein. In this embodiment, steps aredisclosed that allow a mobile device 110 to gather browsing and usagedata of the mobile device 110 along with WiFi connectivity patterns todetermine content of interest to a user of the mobile device 110. Atspecified times, this content may be downloaded or pulled from contentservers using a WiFi or WiMax connection and stored in cache memory forsubsequent consumption by the user.

In the illustrated embodiment shown in FIG. 3, the logic flow 300 mayobserve the browsing history and software application interactionhistory of the mobile device 110 with respect to IP data consumption atblock 305. For example, the user of the mobile device 110 may regularlyvisit one or more web sites which may be reflected by the browsinghistory or some other means of tracking. The user may browse the USAToday™ sports section on a regular basis as well as the NY Times™ website. Similarly, the user may access locally stored softwareapplications 230 that are used to access the Internet for IP dataconsumption purposes. Many news outlets have created custom applicationsthat may run on the mobile device 110 and access the IP data stored ontheir own content servers. This model does not need a standard webrowser but rather uses the native application interface designed by thecontent provider and executing on the mobile device. Thus, the user mayconsume IP data from the USA Today™ using a USA Today™ app on the mobiledevice. This native application has its own user interface and datapresentation construct that the user may prefer. Collecting thisbrowsing and application interaction data over a period of time mayyield activity that the user of the mobile device regularly engages. Thepatterns may then yield a predictable model of future IP dataconsumption.

The logic flow 300 may observe WiFi and/or alternative networkconnectivity patterns at block 310. For example, the mobile device 110may typically have a WiFi connection or an alternative network (e.g.,WiMax) connection everyday between the hours of midnight-7:00 AM, 8:00AM-12:00 PM, 1:00 PM-5:00 PM, and again from 9:00 PM-midnight. Thisschedule is more or less reflective of a typical workday in which themobile device 110 has access to WiFi or WiMax at home from 9:00 PM-7:00AM, loses access while commuting to a workplace, regains access while atwork, and loses access again while commuting home. Similar patternscould be established for students or others. The predictive cachingapplication 240 can, over time, determine a fairly reliable time framefor expected WiFi or WiMax connectivity.

In the illustrated embodiment shown in FIG. 3, the logic flow 300 mayupdate the browsing history and software application interaction historyof the mobile device 110 with respect to IP data consumption at block315. For example, the user of the mobile device 110 may collect andforward additional browsing history or software application interactionhistory data to the predictive caching application 240. This helps keepthe predictive caching application 240 current with respect to theuser's most recent usage patterns.

The logic flow 300 may determine IP data content to download based on IPdata content usage observations or explicit user instruction at block320. For example, the predictive caching application 240 may analyze theobserved browsing history and application interaction history todetermine that the mobile device regularly visits the same web site(s)and typically accesses the same software applications that retrieve IPdata content from a content provider over the Internet 115. Using thisdata, the predictive caching application 240 may create a script,background process, or other mechanism that identifies the contentprovider and the content that the mobile device will most likely want toaccess throughout the day.

The logic flow 300 may determine whether the mobile device 110 has acurrent WiFi connection at block 325. For example, the predictivecaching application 240 may query the WiFi transceiver 210 to determinewhether the WiFi transceiver 210 is active and connected to an IPnetwork access point and therefore capable of exchanging IP data overthe Internet 115. If the WiFi transceiver 210 does not currently have aconnection with an IP network access point, the logic flow 300 may waituntil the mobile device 110 has established a WiFi connection at block330. For example, the predictive caching application 240 may attempt toinvoke the WiFi transceiver and its associated intelligence to scan forand connect with an available WiFi network. The predictive cachingapplication 240 may continuously or periodically monitor the WiFiconnection status of the WiFi transceiver 240 and only pull IP contentdata it has determined to be of interest to the user or that the userhas specifically requested when a WiFi connection exists. By running thepredictive caching application 240 in the background, it can be ready todownload as soon as a WiFi connection is established.

The logic flow 300 may download and cache IP content data over WiFi oran alternative network at block 335. For example, if the predictivecaching application 240 determines that the mobile device 110 does haveWiFi connectivity, the predictive caching application 240 can downloadIP content data it has determined to be of interest to the user or thatthe user has specifically requested. The downloaded IP content data maythen be stored in local cache memory. The downloading and caching stepof block 335 may be optimized using the WiFi connectivity pattern dataobserved in block 310. Using this information, the predictive cachingapplication 240 may attempt to download IP content data during timeframes that the mobile device 110 is typically connected to a WiFinetwork. For example, the mobile device may typically be coupled with aWiFi network at 5:00 AM each morning. This may be because the user ofthe mobile device 110 is either at home in a WiFi environment or perhapsat a hotel that also includes a WiFi environment. The predictive cachingapplication 240 may attempt to download desired IP data at 5:00 AM eachday so that the mobile device 110 can cache the IP data for later accessby the user even if no WiFi connection exists. In addition, thepredictive caching application 240 may run in the background andperiodically re-fresh the cached data with new IP content data anytime aWiFi connection exists. Each successful refresh helps keep the cacheddata as up to date as possible.

FIG. 4 illustrates one embodiment of a logic flow 400. The logic flow400 may be representative of some or all of the operations executed byone or more embodiments described herein. In this embodiment, steps aredisclosed that allow a mobile device 110 to establish a servicerelationship with a content provider. The service relationshiprepresents IP content desired by the user that is to be pushed or pulledfrom the content service provider to the mobile device 110 using a WiFior WiMax connection. The IP content may then be stored in cache memoryfor subsequent consumption by the user.

In the illustrated embodiment shown in FIG. 4, the logic flow 400 maysend a content request to a content service provider at block 405. Forexample, the predictive caching application 240 may initiate acommunication session with a content service provider over the Internet115. Alternatively, a communication session may be established betweenthe content service provider and the mobile device 110 using a mobileweb browser application. In another embodiment, a communication sessionmay be established between the content service provider and a computerdevice that is not the mobile device 110 using a browser application.The other computer device may be a computer, a tablet computer, an IPnetwork enabled television, or other IP network connectable device. Inthis embodiment, the separate computer device may interact with thecontent service provider for purposes of registering the mobile device110 with the content service provider.

The registration process may include creating an account that uniquelyidentifies the mobile device 110 as the intended recipient of IP contentdata. The user may specify what IP content it desires duringregistration. For example, the user may register with a web site such asMLB.com™ and indicate that all top stories, or all stories pertaining toa favorite team be queued for download. The user may further specifythat recent scores, standings, and schedules also be queued fordownload. In another example, the user may register with a web site suchas CNN.com™ and indicate that all top stories, all stories mentioningthe word “President”, the weather section of the web site, and variousstock quotes be queued for download. There may also be a catch-alldefault that would queue the entire web site for download. In stillanother example, the user may register with a web site such as Netflix™and indicate that certain movies or television shows be queued fordownload. The user may also specify that it would like Netflix™ tochoose 2 movies and 3 television shows on its own based on prior viewinghistory to be queued for download. As is evident, there can be a widevariety of content selection options between the user and the contentservice provider. The examples above are illustrative and not limitingto the embodiments described herein.

The logic flow 400 may queue the requested content in a bufferassociated with the mobile device 110 at block 410. For example, thecontent service provider may aggregate the requested content and placeit within a buffer uniquely associated with the mobile device 110 as perthe registration process. The logic flow 400 may then notify the mobiledevice 110 that the requested content has been queued for download atblock 415. This may be accomplished, for example, via text message, apushed alert, email, etc. In an automated system, the notification doesnot necessarily need to be made known to the user as described above.Rather, the predictive caching application 240 may receive thenotification and act on its own to retrieve the desired content. Whenthe notification is received by the mobile device 110, the predictivecaching application 240 may determine if the mobile device 110 iscurrently connected to a WiFi network at block 420. If not, thepredictive caching application 240 will not attempt to retrieve thecontent from the content service provider. Rather, the predictivecaching application 240 will wait until a WiFi connection exists beforedownloading the queued content from the content service provider atblock 430. If the mobile device 110 happens to lose the WiFi connectionduring the download process, the predictive caching application 240 canautomatically terminate the download until a WiFi connection for themobile device 110 is reestablished. This ensures that a cellular network125 is not utilized to download any content and therefore avoidsincurring any wireless cellular data usage fees.

The logic flow 400 may store the requested content in cache memory onthe mobile device 110 at block 435. For example, the content downloadedfrom the content service provider over a WiFi connection may be locallystored in data storage component 225 on the mobile device 110. The usermay then access the stored data without needing any type of networkconnection whatsoever.

FIG. 5 illustrates an exemplary networked environment for implementingcertain exemplary embodiments described herein. FIG. 5 is a duplicationof FIG. 1 with an additional component added. Thus, to the extent thatFIG. 5 duplicates FIG. 1, the disclosure of FIG. 1 applies equally toFIG. 5 and is not repeated here.

The additional component in FIG. 5 may be characterized as anintelligent caching server 135. The intelligent caching server 135resides in the cloud (e.g., accessible via the Internet 115). Theintelligent caching server 135 my have a relationship with the mobiledevice 110 such that data is communicated and exchanged between themobile device 110 and the intelligent caching server 135. For example,the mobile device 110 may provide historical browsing data as well assoftware application interaction data to the intelligent caching server135. The intelligent caching server 135 may then analyze this data todetermine or predict the type of IP content data the user of mobiledevice 110 will likely attempt to access at a later time. Theintelligent caching server 135 may then go out and aggregate the IPcontent data and store it on behalf of the mobile device 110. Theintelligent caching server 135 may then notify the mobile device 110 ofthe stored IP content data so that the mobile device 110 may, at a timewhen it is connected to a WiFi network, download and locally store theIP content data.

FIG. 6 illustrates one embodiment of a logic flow 600. The logic flow600 may be representative of some or all of the operations executed byone or more embodiments described herein. In this embodiment, steps aredisclosed that allow a mobile device 110 to gather browsing and usagedata of the mobile device 110 along with WiFi connectivity patterns todetermine content of interest to a user of the mobile device 110. Thisinformation may then be sent to an intelligent caching server 135 thatwill pull the content from the various content service providers andstore it so that the mobile device 110 may, at specified times using aWiFi or WiMax connection, download it. The incoming content to themobile device 110 may then be stored in cache memory for subsequentconsumption by the user.

In the illustrated embodiment shown in FIG. 6, the logic flow 600 mayobserve the browsing history and software application interactionhistory of the mobile device 110 with respect to IP data consumption atblock 605. For example, the user of the mobile device 110 may regularlyvisit one or more web sites which may be reflected by the browsinghistory or some other means of tracking. The user may browse the USAToday™ sports section on a regular basis as well as the NY Times™ website. The logic flow 600 may then upload the browsing and softwareapplication interaction history of the mobile device 110 with respect toIP data consumption history to an intelligent caching server 135 atblock 610.

The logic flow 600 may update the browsing history and softwareapplication interaction history of the mobile device 110 with respect toIP data consumption at block 615. For example, the user of the mobiledevice 110 may periodically collect and forward additional browsinghistory or software application interaction history data to thepredictive caching application 240. The updated history may then beuploaded to the intelligent caching server 135 as described in block610. This helps keep the predictive caching application 240 current withrespect to the user's most recent usage patterns.

The logic flow 600 may determine and obtain IP data content based on IPdata content usage observations or explicit user instruction at block620. For example, the intelligent caching server 135 may analyze theuploaded browsing history and application interaction history todetermine that the mobile device regularly visits the same web site(s)and typically accesses the same software applications that retrieve IPdata content from a content provider over the Internet 115. Using thisdata, the intelligent caching server 135 may then connect to the contentprovider(s) and download the content deemed to be of interest to themobile device 110.

The logic flow 600 may queue the content obtained from content providersat block 625. For example, the intelligent caching server 135 may storethe downloaded content deemed to be of interest to the mobile device 110in a local buffer that is associated or linked with the mobile device110. The intelligent caching server 135 may then push a notification tothe mobile device 110 informing the mobile device 110 of the queuedcontent waiting on the intelligent caching server 135 at block 630.

Upon receipt of the content notification from the intelligent cachingserver 135, the logic flow may determine if the mobile device 110currently has a WiFi connection at block 635. For example, thepredictive caching application 240 may query the WiFi transceiver 210 todetermine whether the WiFi transceiver 210 is active and connected to anIP network access point and therefore capable of exchanging IP data overthe Internet 115. If the WiFi transceiver 210 does not currently have aconnection with an IP network access point, the logic flow 600 may waituntil the mobile device 110 has established a WiFi connection at block640. For example, the predictive caching application 240 may attempt toinvoke the WiFi transceiver and its associated intelligence to scan forand connect with an available WiFi network. The predictive cachingapplication 240 may continuously or periodically monitor the WiFiconnection status of the WiFi transceiver 240 and notify the intelligentcaching server 135 of WiFi connectivity when it exists at block 645. Byrunning the predictive caching application 240 in the background, it canbe ready to notify the intelligent caching server 135 as soon as a WiFiconnection is established.

The logic flow 600 may push IP content data over WiFi or an alternativenetwork to the mobile device 110 at block 650. For example, when the preintelligent caching server 135 receives notification that the mobiledevice 110 does have WiFi connectivity, the intelligent caching server135 can push IP content data it has determined to be of interest to theuser or that the user has specifically requested to the mobile device.The downloading and caching step of block 335 may be optimized usingobserved WiFi connectivity pattern data. Using this information, theintelligent caching server 135 may attempt to push IP content dataduring time frames that the mobile device 110 is typically connected toa WiFi network. For example, the mobile device may typically be coupledwith a WiFi network at 5:00 AM each morning. This may be because theuser of the mobile device 110 is either at home in a WiFi environment orperhaps at a hotel that also includes a WiFi environment. Theintelligent caching server 135 may attempt to push desired IP data at5:00 AM each day so that the mobile device 110 can cache the IP data forlater access by the user even if no WiFi connection exists.

Alternatively, the logic flow 600 may download and cache IP content dataover WiFi or an alternative network. For example, if the predictivecaching application 240 determines that the mobile device 110 does haveWiFi connectivity, the predictive caching application 240 can downloadIP content data it has determined to be of interest to the user or thatthe user has specifically requested from the intelligent caching server135. The downloading and caching step may be optimized using the WiFiconnectivity pattern data observed in block 310. Using this information,the predictive caching application 240 may attempt to download IPcontent data during time frames that the mobile device 110 is typicallyconnected to a WiFi network. In addition, the predictive cachingapplication 240 may run in the background and periodically re-fresh thecached data with new IP content data anytime a WiFi connection existsand new content data is available on the intelligent caching server.Each successful refresh helps keep the cached data as up to date aspossible.

The logic flow 600 may store pushed or pulled IP content data in cachememory of the mobile device 110 at block 655. For example, thepredictive caching application 240 may analyze the received pushed IPcontent data and store it appropriately in local mobile device cachememory. For instance, IP content data associated with a web site may bestored in web browser cache memory. If the IP content data is associatedwith a particular software application 230 rather than a generic webbrowser, the predictive caching application 240 may store the data in acache buffer associated with that software application 230. This storagemechanism allows the user to access the IP content data using the sameuser interface(s) and/or native application (e.g, web browser, WeatherChannel™ app, ESPN™ app, CNN™ app, etc.) as always. The end result is adata consumption experience for the user that is no different than ifthe user had just requested and downloaded the IP content data.

FIG. 7 illustrates one embodiment of a logic flow 700. The logic flow700 may be representative of some or all of the operations executed byone or more embodiments described herein. In this embodiment, steps aredisclosed that allow a mobile device 110 to consume, on the mobiledevice 110, cached IP content data.

In the illustrated embodiment shown in FIG. 7, the logic flow 700 mayreceive a request to fetch IP data at block 705. For example, the userof the mobile device 110 may be executing a web browser and requestaccess to a particular URL. In another example, the user may be runninga particular software application 230 on the mobile device 110. Thesoftware application 230 may receive input from the user that causes itto fetch IP data from a content provider outside the mobile device 110.The content provider may be accessible via the Internet 115.

The logic flow 700 may then determine if the mobile device 110 has aWifi or alternate network connection at block 710. Alternate networkconnection excludes a cellular network connection since an object is tominimize access to and use of a cellular network for non-voice (e.g., IPdata) purposes. When the mobile device 110 does have a WiFi or alternatenetwork connection as determined at block 710, the predictive cachingapplication 240 may run in the background to receive and/or refreshcached IP data at block 715. Block 715 may be implemented using one ormore of the embodiments described in FIG. 3, 4, or 6. In addition, whenthe mobile device 110 does have a WiFi or alternate network connection,the mobile device 110 may execute any requests or instructions to fetchIP data via a connection with the Internet over WiFi or an alternatenetwork. The downloaded IP data may then be presented to the user fromwithin the native application used to make the request over one or moreof the user interface(s) 235 of the mobile device 110 at block 730.

When the mobile device 110 does not have a WiFi or alternate networkconnection as determined at block 710, the logic flow 700 determines ifthe request for IP data is for data already stored in local cache memoryat block 735. If the IP data is not already stored in local cachememory, the mobile device may use the cellular data network 125 todownload the requested IP data. Use of the cellular data network 125 maybe automatic or allowed only upon an affirmative user response to aprompt. If the IP data is already stored in local cache memory, themobile device may prompt the user to use the cached data at block 740.If the user responds negatively, the request may be processed live usinga connection to the cellular network 125. Otherwise, the cellularnetwork 125 may be bypassed at block 745 and the IP data may be accessedvia the cache memory at block 750. The IP data may then be presented tothe user from within the native application used to make the requestover one or more of the user interface(s) 235 of the mobile device 110at block 730.

It should be noted that the use of WiFi with respect to the descriptionof FIGS. 3-7 may be substituted with an alternative non-cellular IPnetwork protocol or standard such as, but not limited to, WiMax or awhitespace network. In addition, a wired IP network connection such asEthernet, if available to the mobile device 110, may be considered analternative network 130.

The invention claimed is:
 1. A method comprising: in a mobile devicehaving both a cellular transceiver and at least one other RF transceivercommunicable with a non-cellular IP network access point: collectingInternet Protocol (IP) data consumption information associated with themobile device; predicting, based on the collected IP data consumptioninformation, IP data the mobile device is expected to consume at afuture time; automatically bypassing any cellular network connection anddownloading the predicted IP data to the mobile device using the atleast one other RF transceiver over the non-cellular IP network accesspoint; storing the downloaded predicted IP data in cache memory on themobile device such that the stored IP data is not transported over acellular network; and in response to a request for the predicted IP dataand when no non-cellular IP network access point connection is availableto the mobile device: bypassing an available cellular networkconnection; and accessing the stored predicted IP data from cache memoryusing an application on the mobile device associated with the storedpredicted IP data.
 2. The method of claim 1 further comprising:collecting non-cellular IP network connectivity information associatedwith the mobile device; predicting, based on the collected non-cellularIP network connectivity information, when the mobile device can beexpected to be connected to the non-cellular IP network access point;and attempting to perform the automatically downloading the predicted IPdata step at a time when the mobile device is predicted to be connectedto the non-cellular IP network access point.
 3. The method of claim 1further comprising waiting until the mobile device is connected to thenon-cellular IP network access point before automatically downloadingthe predicted IP data.
 4. The method of claim 1 further comprisingstoring the downloaded predicted IP data in cache memory on the mobiledevice wherein the cache memory is associated with an application on themobile device that would have downloaded the predicted IP data if thedownload had been manually initiated by a user.
 5. The method of claim 1wherein the non-cellular IP network access point is one of a WiFi IPnetwork access point, a WiMax IP network access point, and a whitespaceIP network access point.
 6. A method comprising: in a content serverwithin an IP network: receiving a content request from a mobile devicehaving both a cellular transceiver and a non-cellular RF transceiver,the content request indicative of recurring IP content data of interestto the mobile device; queuing the requested IP content data in a bufferassociated with the mobile device; and automatically downloading thequeued IP content data to the mobile device to be stored in a cachememory only when the mobile device is connected to a non-cellular IPnetwork access point.
 7. The method of claim 6 further comprising:receiving non-cellular IP network connectivity information associatedwith the mobile device; predicting, based on the received non-cellularIP network connectivity information, when the mobile device can beexpected to be connected to a non-cellular IP network access point; andattempting to perform the automatically downloading the queued IPcontent data step at a time when the mobile device is predicted to beconnected to a non-cellular IP network access point.
 8. The method ofclaim 6 further comprising waiting until the mobile device is connectedto a non-cellular IP network access point before automaticallydownloading the queued IP content data.
 9. The method of claim 6 furthercomprising storing the downloaded IP content data in cache memory on themobile device wherein the cache memory is associated with an applicationon the mobile device that would have downloaded the IP content data ifthe download had been manually initiated by a user.
 10. The method ofclaim 6 wherein the non-cellular IP network access point is one of aWiFi IP network access point, a WiMax IP network access point, and awhitespace IP network access point.
 11. A method comprising: in anintelligent cache server within an IP network; receiving a contentrequest from a mobile device having both a cellular transceiver and anon-cellular RF transceiver, the content request indicative of recurringIP content data of interest to the mobile device; retrieving therequested IP content data from one or more content servers; queuing therequested IP content data in a buffer associated with the mobile device;automatically downloading or receiving the queued IP content data to themobile device to be stored in cache memory only when the mobile deviceis connected to a non-cellular IP network access point.
 12. The methodof claim 11 further comprising: receiving non-cellular IP networkconnectivity information associated with the mobile device; predicting,based on the received non-cellular IP network connectivity information,when the mobile device can be expected to be connected to a non-cellularIP network access point; and attempting to perform the automaticallydownloading or receiving the queued IP content data step at a time whenthe mobile device is predicted to be connected to a non-cellular IPnetwork access point.
 13. The method of claim 11 further comprisingwaiting until the mobile device is connected to a non-cellular IPnetwork access point before automatically downloading or receiving thequeued IP content data.
 14. The method of claim 11 further comprisingstoring the downloaded or received IP content data in cache memory onthe mobile device that is associated with an application on the mobiledevice wherein the cache memory would have downloaded the IP contentdata if the download had been manually initiated by a user.
 15. Themethod of claim 11 wherein the non-cellular IP network access point isone of a WiFi IP network access point, a WiMax IP network access point,and a whitespace IP network access point.